SIMCOMP (SIMilar COMPound) is a graph-based method for comparing chemical structures. It has been implemented in the KEGG system for searching similar chemical structures in the chemical structure databases.
SUBCOMP (SUBstructure matching of COMPounds) is a bit-string based method for comparing chemical structures. It has been implemented in the KEGG system for searching similar chemical structures in the chemical structure databases, often as a rapid alternative to more time-consuming (but more accurate) SIMCOMP.
SDREM is a model which integrates static and time series data to link proteins and the pathways they regulate in these networks. SDREM uses prior information about proteins’ likelihood of involvement in a disease (e.g. from screens) to improve the quality of the predicted signaling pathways.
Argot2 (Annotation Retrieval of Genel Ontology Terms) is able to quickly process thousands of sequences for functional inference. The tool exploits a combined approach based on the clustering process of GO terms dependent on their semantic similarities and a weighting scheme which assesses retrieved hits sharing a certain degree of biological features with the sequence to annotate.
COSSY is an algorithm to discover important subnetworks differentiating between two phenotypes (context). It automatically finds differentially expressed subnetworks of closely interacting molecules from molecular interaction networks (such as KEGG or STRING) using gene expression profiles. This is the first non-greedy approach of its kind. COSSY works for any interaction network regardless of the network topology. It can also be used as a highly accurate classification platform.
PATHiWAYS is a web tool for the interpretation of the consequences of the combined changes in expression levels of genes in the context of signaling pathways. Specifically, this tool allows the user to identify the stimulus-response subpathways that are significantly activated or deactivated in the typical case/control experiment. PATHiWAYS identifies all the stimulus-response subpathways of KEGG signaling pathways, calculates the probability of activation of each one, based on the individual gene expression values and identifies those with a significant differential activity between the two conditions compared.
WaRSwap (Weighted and Reverse Swap sampling) is a network randomization method that for the first time provides a practical algorithm for network motif discovery in large multi-layer networks that include Transcription Factors (TFs), microRNAs (miRNAs), and non-TF protein coding genes.